Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
203
Single Precision Score
280
Half Precision Score
519
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 22 2025 11:18 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
66
12.2 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (Q)
|
99% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
273
4.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
701
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
920
1.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
1877
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.48 IPS |
|
|
Object Detection (HP)
|
99% |
128
10.2 IPS |
|
|
Object Detection (Q)
|
86% |
266
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
210
2.49 IPS |
|
|
Face Detection (HP)
|
100% |
413
4.91 IPS |
|
|
Face Detection (Q)
|
97% |
663
7.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
246
1.89 IPS |
|
|
Depth Estimation (HP)
|
98% |
338
2.61 IPS |
|
|
Depth Estimation (Q)
|
79% |
757
6.02 IPS |
|
|
Style Transfer (SP)
|
100% |
1779
2.29 IPS |
|
|
Style Transfer (HP)
|
100% |
2068
2.66 IPS |
|
|
Style Transfer (Q)
|
98% |
3648
4.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
165
6.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
198
7.31 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
326
12.1 IPS |
|
|
Text Classification (SP)
|
100% |
93
124.7 IPS |
|
|
Text Classification (HP)
|
100% |
56
74.4 IPS |
|
|
Text Classification (Q)
|
97% |
151
202.5 IPS |
|
|
Machine Translation (SP)
|
100% |
171
2.95 IPS |
|
|
Machine Translation (HP)
|
99% |
300
5.19 IPS |
|
|
Machine Translation (Q)
|
65% |
421
8.45 IPS |
